TY - GEN
T1 - A Single-Motor Vibration-Driven Microrobot with Terrain Adaptability for Robust Cross-material Locomotion
AU - Liu, Peng
AU - Wang, Chenghao
AU - Tang, Lingqi
AU - Li, Yao
AU - Li, Bing
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Vibration-driven microrobots for confined space applications (e.g., pipeline inspection, disaster relief) suffer from poor trajectory accuracy due to inherent sensitivity to surface friction variations, and conventional fixed-parameter PID controllers fail to tackle nonlinear dynamics like abrupt friction transitions and initial heading deviations-key limitations in unstructured environments. This paper presents a 2.9 g ultralight vibration-driven microrobot integrated with a fuzzy adaptive control strategy for robust locomotion on heterogeneous surfaces. Systematic experiments conducted on wood, acrylic, aluminum and cross-material composite surfaces show that the proposed control reduces the trajectory error to ~ 25 mm on low-friction surfaces and significantly suppresses error accumulation under cross-material transition conditions, outperforming traditional PID control. This work addresses the core challenge of friction sensitivity in vibration-driven microrobots to advance their development, and provides a solution for their reliable operation in real-world dynamic surface scenarios.
AB - Vibration-driven microrobots for confined space applications (e.g., pipeline inspection, disaster relief) suffer from poor trajectory accuracy due to inherent sensitivity to surface friction variations, and conventional fixed-parameter PID controllers fail to tackle nonlinear dynamics like abrupt friction transitions and initial heading deviations-key limitations in unstructured environments. This paper presents a 2.9 g ultralight vibration-driven microrobot integrated with a fuzzy adaptive control strategy for robust locomotion on heterogeneous surfaces. Systematic experiments conducted on wood, acrylic, aluminum and cross-material composite surfaces show that the proposed control reduces the trajectory error to ~ 25 mm on low-friction surfaces and significantly suppresses error accumulation under cross-material transition conditions, outperforming traditional PID control. This work addresses the core challenge of friction sensitivity in vibration-driven microrobots to advance their development, and provides a solution for their reliable operation in real-world dynamic surface scenarios.
KW - adaptive control
KW - cross-material movement
KW - microrobot
KW - vibration-driven
UR - https://www.scopus.com/pages/publications/105041867544
U2 - 10.1109/ICMTIM69588.2026.11526616
DO - 10.1109/ICMTIM69588.2026.11526616
M3 - 会议稿件
AN - SCOPUS:105041867544
T3 - 2026 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
SP - 152
EP - 155
BT - 2026 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
Y2 - 17 April 2026 through 19 April 2026
ER -